Approaches presented herein enable assignment of translated work to an agent in a customer support environment based on a confidence factor that measures accuracy of translation and an agent's language skill. Specifically, agent proficiencies in a set of natural languages are measured and scored. An incoming customer communication is translated into one or more natural languages and each language translation is assigned a translation score based on a confidence of translation. The skill score and translation score are utilized to calculate a confidence factor for each language. In one approach, the customer communication is assigned to an agent that has a confidence factor greater than a predetermined threshold confidence factor. In another approach, the communication is only assigned if a rule optimizing agent availability and risk of constrained resources is satisfied.

Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.

A system, method, apparatus, means, and computer program code is provided wherein an electronic communication is received. A communication routing matrix is accessed, from a relational database platform, to select a service representative for the received communication. It may then be arranged for the received communication to be routed in accordance with the selected service representative.

The disclosure pertains to a communication system for effecting a voice or video call between at least a source user speaking a source language and a target user speaking a target language. A translation procedure is performed on call audio of the call to generate an audio translation of the source user's speech in the target language for outputting to the target user. A notification is outputted to the target user to notify the target user of a change in the behavior of the translation procedure, the change relating to the generation of the translation.

Systems and methods for providing conversation assistance include receiving from at least one user device of a user, conversation information and determining that the conversation information is associated with a conversation involving the user and a first person that is associated with first conversation assistance information in a non-transitory memory. Body measurement data of the user is retrieved from the at least first user device. A need for conversation assistance in the conversation involving the user and the first person is detected using the body measurement data. First conversation assistance information associated with the first person is retrieved from the non-transitory memory. The first conversation assistance information associated with the first person is provided through the at least one user device.

A facility and method for analyzing and classifying calls without transcription via keyword spotting is disclosed. The facility uses a group of calls having known outcomes to generate one or more domain- or entity-specific grammars containing keywords and related information that are indicative of particular outcome. The facility monitors telephone calls by determining the domain or entity associated with the call, loading the appropriate grammar or grammars associated with the determined domain or entity, and tracking keywords contained in the loaded grammar or grammars that are spoken during the monitored call, along with additional information. The facility performs a statistical analysis on the tracked keywords and additional information to determine a classification for the monitored telephone call.

Disclosed is a method, apparatus, system and non-transitory computer program product configured to process user call responses and assign caller specific preferences to the user based on the caller's feedback. One example method of processing spoken words from a user of a calling platform may include operations, such as calling a user via a call processing device, and sending a call prompt message to the user after the user has answered the call, the call prompt message soliciting a user response. The user may respond and the response is received as a spoken call greeting from the user in response to the call prompt message. Other operations may include recording the spoken call greeting, and determining whether the spoken call greeting is indicative of a language preference. The system may process the user's word or utterances and assign language preferences to the user based on the user provided information.

Systems and methods for controlling communication systems for the hearing impaired are disclosed. A portable communication device requests control over a plurality of communication devices. The portable communication device connects to and controls the plurality of communication devices. The portable communication device includes a user interface that enables a user to transfer a call from a first communication device to a second communication device.

A group routing server, communication devices, and related methods are described. The group routing server may comprise a processor operably coupled with communication elements and memory, and be configured to determine a destination communication device from among a plurality of communication devices to which an incoming call is to be routed, determine whether an assistive communication service is needed for providing interpretive services based, at least in part, on differing communication abilities between a far-end user associated with a far-end communication device initiating the incoming call and a near-end user associated with the destination communication device, route the incoming call to the assistive communication service according to the routing rules if the assistive communication device is determined to be needed, and route the incoming call directly to the communication service according to the routing rules if the assistive communication device is not determined to be needed.

Approaches presented herein enable assignment of translated work to an agent in a customer support environment based on a confidence factor that measures accuracy of translation and an agent's language skill. Specifically, agent proficiencies in a set of natural languages are measured and scored. An incoming customer communication is translated into one or more natural languages and each language translation is assigned a translation score based on a confidence of translation. The skill score and translation score are utilized to calculate a confidence factor for each language. In one approach, the customer communication is assigned to an agent that has a confidence factor greater than a predetermined threshold confidence factor. In another approach, the communication is only assigned if a rule optimizing agent availability and risk of constrained resources is satisfied.